package com.xujianlong.day04;

import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.windowing.assigners.SlidingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.util.Collector;

public class Flink10_TimeWindow_Sliding {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);

        DataStreamSource<String> dataStreamSource = env.socketTextStream("hadoop102", 9999);
        SingleOutputStreamOperator<Tuple2<String, Long>> flatMap = dataStreamSource.flatMap(new FlatMapFunction<String, Tuple2<String, Long>>() {
            @Override
            public void flatMap(String s, Collector<Tuple2<String, Long>> collector) throws Exception {
                String[] words = s.split(" ");
                for (String word : words) {
                    collector.collect(Tuple2.of(word, 1L));
                }
            }
        });
        flatMap.keyBy(new KeySelector<Tuple2<String, Long>, String>() {
            @Override
            public String getKey(Tuple2<String, Long> stringLongTuple2) throws Exception {
                return stringLongTuple2.f0;
            }
        }).window(SlidingProcessingTimeWindows.of(Time.seconds(6),Time.seconds(2))).sum(1).print();
        env.execute();
    }
}
